Remote Data Engineering Manager Jobs
Remote data engineering manager jobs are in active demand at remote-first firms and distributed engineering teams across the U.S., with strong hiring in tech, fintech, and healthcare data. Employers posting remote openings right now include Ameriprise Financial, CVS Health, and Deckers Brands. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 116+ Remote Data Engineering Manager jobs
POSITION TITLE: Director, Engineering – Data, AI, RPA & Governance (M4)
For more than three decades, Crown Castle has led the way in shared communications infrastructure, delivering profitable solutions by connecting communities, businesses, and people, and enabling each to thrive with reliable access to voice and data in more places, faster than ever before. When you join Crown Castle, you become part of a dynamic team of passionate and collaborative professionals engaging in complex challenges and contributing to projects that shape the future of life and work.
ABOUT THE ROLE
The Director of Engineering – Data, AI, RPA & Governance is a senior technology leader accountable for the end-to-end ownership of Crown Castle’s enterprise data ecosystem, AI strategy, and intelligent automation capabilities.
This role defines and operationalizes the company’s data governance framework, AI adoption strategy (including platforms such as Lyzr), and target data architecture, ensuring scalable, trusted, and business-aligned delivery. The leader will own the data foundation and platform enablement model, while supporting a separate centralized Analytics & Insights organization that consumes and delivers business insights.
A critical component of this role is building a culture of data citizenship, ensuring that data ownership, accountability, and quality are embedded across the enterprise—not just within IT.
KEY RESPONSIBILITIES
Enterprise Data Strategy, Governance & Data Citizenship
- Define and execute the enterprise data governance strategy, including ownership models, stewardship, data quality, classification, lineage, and access controls
- Establish and scale data citizenship capabilities across the enterprise, including:
- Business data ownership and stewardship models
- Data literacy and accountability frameworks
- Governance councils and domain-aligned ownership structures
- Drive adoption of governance practices across business functions, ensuring data is treated as a strategic enterprise asset
- Ensure compliance with regulatory, privacy, and security requirements in partnership with Risk and Security
Enterprise AI Strategy & Enablement
- Define and lead Crown Castle’s enterprise AI strategy, including adoption and scaling of platforms such as Lyzr
- Identify and prioritize high-value AI and Generative AI use cases, ensuring alignment to measurable business outcomes
- Establish reusable AI frameworks, patterns, and accelerators to scale adoption across domains
- Ensure AI solutions are aligned to enterprise data architecture, governance, and responsible AI standards
Target Data Architecture Ownership (End-to-End Accountability)
- Own the design, delivery, and continuous evolution of the enterprise target data architecture
- Lead implementation and sustainment of Databricks-based medallion architecture (bronze, silver, gold layers) ensuring data quality, consistency, and reuse
- Establish and maintain the semantic and enterprise context layer to standardize definitions and enable consistent data consumption
- Govern integration and onboarding of external data sources, ensuring quality, compliance, and value realization
- Define and enforce enterprise standards for:
- Data modeling and pipelines
- Metadata management and lineage
- Data interoperability across platforms
Platform Enablement for Analytics & Insights (Service Model)
- Serve as the data and AI platform provider for a centralized Analytics & Insights team outside of this organization
- Ensure delivery of high-quality, trusted, and accessible data products to enable advanced analytics, reporting, and insights generation
- Define and manage clear service-level expectations (SLAs) for data availability, freshness, and performance
- Partner closely with the Analytics & Insights organization to:
- Align on priorities and data product roadmap
- Enable self-service capabilities through governed semantic layers
- Support advanced analytics, AI-driven insights, and decision-making
RPA & Intelligent Automation Leadership
- Lead enterprise RPA and intelligent automation strategy and operations, including lifecycle management of automation assets
- Drive hyper automation initiatives combining RPA, AI/ML, and workflow platforms to streamline end-to-end processes
- Establish governance, standards, and KPIs for automation (ROI, performance, scalability, maintainability)
- Ensure continuous optimization of automation portfolio aligned to business value
Engineering Delivery & Execution Excellence
- Lead cross-functional engineering teams across data, AI, and automation platforms
- Implement modern engineering practices including DevSecOps, CI/CD, and product-based delivery models
- Ensure platforms are scalable, secure, cost-efficient, and highly available
- Track and report KPIs tied to business outcomes, adoption, and platform performance
Leadership & Operating Model
- Build and lead high-performing teams across data engineering, AI engineering, automation, and governance
- Define a clear operating model separating:
- Platform ownership (this role)
- Analytics and insights consumption (separate team)
- Foster a culture aligned to Crown Castle’s values, emphasizing accountability, ownership, and results-driven execution
WHAT YOU WILL NEED TO SUCCEED
Education
- Bachelor’s degree in Computer Science, Engineering, or related field
- Master’s degree and/or MBA preferred
Experience
- 10+ years of experience in data engineering, AI/ML, platform engineering, or enterprise architecture leadership
- Proven track record owning enterprise data governance, architecture, and platform strategy at scale
- Hands-on experience with Databricks, Snowflake, and modern cloud data ecosystems
- Experience leading enterprise AI strategy and Generative AI adoption (e.g., Lyzr or similar platforms)
- Strong experience in RPA and intelligent automation at enterprise scale
- Demonstrated success building data operating models that separate platform enablement from analytics consumption
Core Skills
- Deep expertise in data governance, architecture, and platform engineering
- Strong understanding of medallion data architecture, semantic layers, and external data integration
- Experience with AI governance, responsible AI frameworks, and compliance requirements
- Ability to build enterprise-wide data citizenship and accountability models
- Strong executive communication and stakeholder management capabilities
- Financial acumen with ability to track and articulate ROI from data, AI, and automation investments
Organizational Alignment
Reports to: CIO
Direct Reports: Senior Managers across Data Engineering, AI Engineering, RPA, and Data Governance
Key Partners: Centralized Analytics & Insights Team, Security, Risk, Enterprise Applications, Cloud & Platform Engineering
Why This Role Matters
This role is foundational to Crown Castle’s evolution into a data-first, AI-enabled enterprise. By establishing strong governance, scalable architecture, and a culture of data citizenship—while enabling a best-in-class analytics organization—this leader ensures the company unlocks the full value of its data, AI, and automation investments in a responsible, scalable, and sustainable way.
Where You Will Work
To optimize collaboration, relationship building, and key stakeholder engagement, this role aligns to a 4:1 hybrid model which is in office Monday-Thursday with the option for remote work on Fridays.
YOUR COMPANY BENEFITS
At Crown Castle, we do our best to ensure you have access to the resources you need to live a healthy and happy life no matter where you are in life. Our benefits are built around your individual needs, covering physical, mental, and financial health and designed to enhance your quality of life.
We are proud to offer a full suite of health and wealth benefits for you and your loved ones. Below are a few of the key highlights of the many benefits we provide.
- Comprehensive healthcare plans with highly company subsidized premiums and up to $2,000 annual company contribution to your Health Savings Account (HSA base plan for employee and dependents).
- Market-leading 401(k) plan, which includes up to 10% company contributions through our 5% match and 5% profit sharing program (based on employee contributions).
- New-child leave up to 8 weeks of 100% paid leave upon birth or legal adoption of a new child. Birth mothers are eligible for up to 8 weeks of additional 100% paid medical leave.
- Tuition reimbursement up to $5,250 per year of eligible tuition and fees.
- Crown Castle scholarship program awarding up to $10,000 per recipient each year for eligible dependent children of employees and interns.
- Matching charitable contributions to qualified charitable organizations of up to $1,000 per year per teammate.
- Generous paid time-off for eligible full-time employees (minimum 18 days per year based on years of service).
- 10 company holidays plus 2 floating holiday.
- All offices provide free beverages and snacks.
Compensation
The salary range offered for this position is $173860 - $239057 annually. A candidate's offer is determined by various factors including but not limited to, depth of experience, role-related knowledge and skills, relevant education or training, internal alignment, and work location. Depending on the position offered, the compensation package may also include incentive compensation opportunities in the form of a discretionary annual cash bonus or commissions, and equity incentives.
Additional Information
If you are interested in joining our team, please visit the Crown Castle careers site to apply. We do not accept resumes from agencies, headhunters, or other third-party suppliers who have not signed a formal agreement with us. This position will remain posted until filled.
POSITION TITLE: Director, Engineering – Data, AI, RPA & Governance (M4)
For more than three decades, Crown Castle has led the way in shared communications infrastructure, delivering profitable solutions by connecting communities, businesses, and people, and enabling each to thrive with reliable access to voice and data in more places, faster than ever before. When you join Crown Castle, you become part of a dynamic team of passionate and collaborative professionals engaging in complex challenges and contributing to projects that shape the future of life and work.
ABOUT THE ROLE
The Director of Engineering – Data, AI, RPA & Governance is a senior technology leader accountable for the end-to-end ownership of Crown Castle’s enterprise data ecosystem, AI strategy, and intelligent automation capabilities.
This role defines and operationalizes the company’s data governance framework, AI adoption strategy (including platforms such as Lyzr), and target data architecture, ensuring scalable, trusted, and business-aligned delivery. The leader will own the data foundation and platform enablement model, while supporting a separate centralized Analytics & Insights organization that consumes and delivers business insights.
A critical component of this role is building a culture of data citizenship, ensuring that data ownership, accountability, and quality are embedded across the enterprise—not just within IT.
KEY RESPONSIBILITIES
Enterprise Data Strategy, Governance & Data Citizenship
- Define and execute the enterprise data governance strategy, including ownership models, stewardship, data quality, classification, lineage, and access controls
- Establish and scale data citizenship capabilities across the enterprise, including:
- Business data ownership and stewardship models
- Data literacy and accountability frameworks
- Governance councils and domain-aligned ownership structures
- Drive adoption of governance practices across business functions, ensuring data is treated as a strategic enterprise asset
- Ensure compliance with regulatory, privacy, and security requirements in partnership with Risk and Security
Enterprise AI Strategy & Enablement
- Define and lead Crown Castle’s enterprise AI strategy, including adoption and scaling of platforms such as Lyzr
- Identify and prioritize high-value AI and Generative AI use cases, ensuring alignment to measurable business outcomes
- Establish reusable AI frameworks, patterns, and accelerators to scale adoption across domains
- Ensure AI solutions are aligned to enterprise data architecture, governance, and responsible AI standards
Target Data Architecture Ownership (End-to-End Accountability)
- Own the design, delivery, and continuous evolution of the enterprise target data architecture
- Lead implementation and sustainment of Databricks-based medallion architecture (bronze, silver, gold layers) ensuring data quality, consistency, and reuse
- Establish and maintain the semantic and enterprise context layer to standardize definitions and enable consistent data consumption
- Govern integration and onboarding of external data sources, ensuring quality, compliance, and value realization
- Define and enforce enterprise standards for:
- Data modeling and pipelines
- Metadata management and lineage
- Data interoperability across platforms
Platform Enablement for Analytics & Insights (Service Model)
- Serve as the data and AI platform provider for a centralized Analytics & Insights team outside of this organization
- Ensure delivery of high-quality, trusted, and accessible data products to enable advanced analytics, reporting, and insights generation
- Define and manage clear service-level expectations (SLAs) for data availability, freshness, and performance
- Partner closely with the Analytics & Insights organization to:
- Align on priorities and data product roadmap
- Enable self-service capabilities through governed semantic layers
- Support advanced analytics, AI-driven insights, and decision-making
RPA & Intelligent Automation Leadership
- Lead enterprise RPA and intelligent automation strategy and operations, including lifecycle management of automation assets
- Drive hyper automation initiatives combining RPA, AI/ML, and workflow platforms to streamline end-to-end processes
- Establish governance, standards, and KPIs for automation (ROI, performance, scalability, maintainability)
- Ensure continuous optimization of automation portfolio aligned to business value
Engineering Delivery & Execution Excellence
- Lead cross-functional engineering teams across data, AI, and automation platforms
- Implement modern engineering practices including DevSecOps, CI/CD, and product-based delivery models
- Ensure platforms are scalable, secure, cost-efficient, and highly available
- Track and report KPIs tied to business outcomes, adoption, and platform performance
Leadership & Operating Model
- Build and lead high-performing teams across data engineering, AI engineering, automation, and governance
- Define a clear operating model separating:
- Platform ownership (this role)
- Analytics and insights consumption (separate team)
- Foster a culture aligned to Crown Castle’s values, emphasizing accountability, ownership, and results-driven execution
WHAT YOU WILL NEED TO SUCCEED
Education
- Bachelor’s degree in Computer Science, Engineering, or related field
- Master’s degree and/or MBA preferred
Experience
- 10+ years of experience in data engineering, AI/ML, platform engineering, or enterprise architecture leadership
- Proven track record owning enterprise data governance, architecture, and platform strategy at scale
- Hands-on experience with Databricks, Snowflake, and modern cloud data ecosystems
- Experience leading enterprise AI strategy and Generative AI adoption (e.g., Lyzr or similar platforms)
- Strong experience in RPA and intelligent automation at enterprise scale
- Demonstrated success building data operating models that separate platform enablement from analytics consumption
Core Skills
- Deep expertise in data governance, architecture, and platform engineering
- Strong understanding of medallion data architecture, semantic layers, and external data integration
- Experience with AI governance, responsible AI frameworks, and compliance requirements
- Ability to build enterprise-wide data citizenship and accountability models
- Strong executive communication and stakeholder management capabilities
- Financial acumen with ability to track and articulate ROI from data, AI, and automation investments
Organizational Alignment
Reports to: CIO
Direct Reports: Senior Managers across Data Engineering, AI Engineering, RPA, and Data Governance
Key Partners: Centralized Analytics & Insights Team, Security, Risk, Enterprise Applications, Cloud & Platform Engineering
Why This Role Matters
This role is foundational to Crown Castle’s evolution into a data-first, AI-enabled enterprise. By establishing strong governance, scalable architecture, and a culture of data citizenship—while enabling a best-in-class analytics organization—this leader ensures the company unlocks the full value of its data, AI, and automation investments in a responsible, scalable, and sustainable way.
Where You Will Work
To optimize collaboration, relationship building, and key stakeholder engagement, this role aligns to a 4:1 hybrid model which is in office Monday-Thursday with the option for remote work on Fridays.
YOUR COMPANY BENEFITS
At Crown Castle, we do our best to ensure you have access to the resources you need to live a healthy and happy life no matter where you are in life. Our benefits are built around your individual needs, covering physical, mental, and financial health and designed to enhance your quality of life.
We are proud to offer a full suite of health and wealth benefits for you and your loved ones. Below are a few of the key highlights of the many benefits we provide.
- Comprehensive healthcare plans with highly company subsidized premiums and up to $2,000 annual company contribution to your Health Savings Account (HSA base plan for employee and dependents).
- Market-leading 401(k) plan, which includes up to 10% company contributions through our 5% match and 5% profit sharing program (based on employee contributions).
- New-child leave up to 8 weeks of 100% paid leave upon birth or legal adoption of a new child. Birth mothers are eligible for up to 8 weeks of additional 100% paid medical leave.
- Tuition reimbursement up to $5,250 per year of eligible tuition and fees.
- Crown Castle scholarship program awarding up to $10,000 per recipient each year for eligible dependent children of employees and interns.
- Matching charitable contributions to qualified charitable organizations of up to $1,000 per year per teammate.
- Generous paid time-off for eligible full-time employees (minimum 18 days per year based on years of service).
- 10 company holidays plus 2 floating holiday.
- All offices provide free beverages and snacks.
Compensation
The salary range offered for this position is $173860 - $239057 annually. A candidate's offer is determined by various factors including but not limited to, depth of experience, role-related knowledge and skills, relevant education or training, internal alignment, and work location. Depending on the position offered, the compensation package may also include incentive compensation opportunities in the form of a discretionary annual cash bonus or commissions, and equity incentives.
Additional Information
If you are interested in joining our team, please visit the Crown Castle careers site to apply. We do not accept resumes from agencies, headhunters, or other third-party suppliers who have not signed a formal agreement with us. This position will remain posted until filled.
See All 116+ Remote Data Engineering Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Data Engineering Manager Job Market
Who's Hiring
- Ameriprise Financial8
- CVS Health7
- Deckers Brands7
- TE Connectivity7
- Ceribell5
Top Industries Hiring
- Technology & Software18
- Retail11
- Healthcare & Medical Services11
- Manufacturing10
- Electronics & Hardware9
What Employers Look For
The qualifications that appear most often in remote data engineering manager jobs.
- 5 or more years of experience in data engineering with at least 2 years in a management role
- Proficiency with cloud platforms such as AWS, GCP, or Azure and their managed data services
- Hands-on experience building and maintaining batch and streaming data pipelines at production scale
- Familiarity with modern data stack tools including dbt, Airflow, Spark, Kafka, or equivalent
- Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Remote Data Engineering Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data engineering manager openings from across the U.S. in one place. Check regularly and apply directly to the roles that match your stack and team-size experience before postings close.
Document your async leadership style clearly
Remote hiring managers look for evidence you can lead without in-person oversight. Write up how you run sprint reviews, make architecture decisions, and unblock engineers asynchronously. Put this in your resume summary or a short leadership statement.
Show your data platform depth upfront
Remote data engineering manager roles move fast in screening. List your hands-on experience with orchestration tools like Airflow or Dagster, transformation layers like dbt, and cloud warehouses like BigQuery or Snowflake in the first third of your resume.
Prepare for written take-home assessments
Many remote-first companies replace live whiteboard rounds with written design exercises. Practice writing a clear data architecture proposal or incident postmortem in plain language, because remote employers treat your written output as a direct signal of how you'll communicate on the job.
Signal remote readiness in your first interview
Mention specific tools you use to run distributed teams: Notion for documentation, Slack for async standups, or Confluence for decision logs. Concrete examples of managing engineers across time zones carry more weight than stating you're comfortable with remote work.
Remote Data Engineering Manager Jobs: Frequently Asked Questions
How do I get a remote data engineering manager job?
Target companies built around distributed teams: remote-first SaaS firms, cloud-native startups, and data-heavy enterprises that run engineering entirely across time zones. Remote employers screen hard for async written communication, self-direction, and hands-on depth in tools like dbt, Spark, Airflow, and cloud data platforms. A portfolio of shipped pipelines, documented decisions, and cross-functional impact written up clearly will separate you from candidates with similar titles.
Which companies hire remote data engineering managers?
Remote data engineering manager roles are posted by Ameriprise Financial, CVS Health, and Deckers Brands and others right now, based on current remote listings on Migrate Mate as of June 2026. Remote-first tech companies, fintech platforms, and healthcare data organizations make up the largest share of these postings, since their engineering teams are already distributed by design.
Can you get a remote data engineering manager job with no experience?
Yes, but remote data engineering manager roles without prior management experience are harder to land because remote work demands independent judgment from day one. Early paths include leading small data projects at a startup, taking on unofficial team-lead responsibilities in a current role, or building a visible record of technical mentorship. Remote-first companies hiring junior managers look for proof of self-direction and documented outcomes more than a formal management title.
Do you need a degree for remote data engineering manager jobs?
Not always. Remote employers hiring data engineering managers weigh demonstrated engineering output, pipeline architecture decisions, and team leadership results alongside or instead of a degree. A strong GitHub history, certifications in cloud platforms like AWS or GCP, and a record of managing or growing data engineers carry real weight. Several remote-first firms explicitly list degrees as preferred rather than required.
Which industries hire the most remote data engineering managers?
The sectors hiring the most remote data engineering managers are Technology & Software, Retail, and Healthcare & Medical Services, based on current remote listings on Migrate Mate as of June 2026. These sectors rely on distributed engineering teams that process data at scale, making remote data engineering manager hires a practical fit rather than an exception.
See All 116+ Remote Data Engineering Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs